StreamSets vs Striim comparison

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StreamSets

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between StreamSets and Striim based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed StreamSets vs. Striim Report (Updated: September 2026).

StreamSets vs. Striim

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

ROI

Sentiment score

8.1

StreamSets speeds up data processing, boosts efficiency and revenue, simplifies tasks, enhances security, and reduces costs significantly.

Sentiment score

7.9

Striim enhances efficiency by reducing data sync time and incidents, saving organizations significant time and operational costs.

No quotes available

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The incidents have disappeared completely since I have been using Striim.

Cloud architect at a tech vendor with 10,001+ employees

Striim's continuous pipeline safely processes millions of daily transactions without data loss; my organization had millions of transactions every day and even in real-time, so it was quite good.

Mainframe lead at Infosys

Since it is now one to two hours, I would say it has saved employee hours and time.

For more quotes and insights, download the Striim report

Data Engineer

Customer Service

Sentiment score

6.7

StreamSets support is responsive and knowledgeable, offering effective solutions, though response times and technical handling could improve.

Sentiment score

6.8

Striim's customer service is praised for prompt, expert assistance, particularly in z/OS architecture and DB2 logs troubleshooting.

IBM technical support sometimes transfers tickets between different teams due to shift changes, which can be frustrating.

For more quotes and insights, download the StreamSets report

Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees

The customer support has been excellent, and their engineers actually understand z/OS architecture and DB2 logs.

Mainframe lead at Infosys

When you contact them, they give you a response straight away and help you identify the issue and fix it.

Technology Specialist Database at a retailer with 10,001+ employees

They are all knowledgeable about what they do.

For more quotes and insights, download the Striim report

Data Engineer

Scalability Issues

Sentiment score

7.6

StreamSets is scalable and flexible, favored for cloud use but could improve auto-scaling for large data migrations.

Sentiment score

7.8

Striim performs well with moderate data volumes, is adaptable, and recommended for hybrid clouds, but enterprise-level scalability is untested.

No quotes available

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Our licensing was based on the number of cores, so even if we have a high number of events on any given day, our license cost would not go high.

Data Engineer

I would describe the scalability of Striim as very good, as it adapts well.

Cloud architect at a tech vendor with 10,001+ employees

Striim can handle the data volumes effectively, but it can struggle a little bit if the data volume is too high.

For more quotes and insights, download the Striim report

Technology Specialist Database at a retailer with 10,001+ employees

Stability Issues

Sentiment score

7.8

StreamSets is praised for stability and reliability, despite minor memory issues, with high user ratings and market competitiveness.

Sentiment score

7.9

Users generally find Striim stable with occasional slowdowns and initial synchronization issues, but no major crashes or reliability problems.

No quotes available

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That problem has been completely resolved with Striim.

Cloud architect at a tech vendor with 10,001+ employees

In my experience, Striim is mostly stable.

Mainframe lead at Infosys

Striim was very stable.

For more quotes and insights, download the Striim report

Data Engineer

Room For Improvement

StreamSets struggles with integration, real-time processing, clarity in UI, memory issues, security, documentation, and cloud storage performance.

Striim needs better performance, especially in batch processing, documentation, user setup, and pricing to satisfy users' needs.

It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades.

For more quotes and insights, download the StreamSets report

Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees

I believe if Striim could use some part of AWS secrets or its own secret mechanism to store the password, that would really save a lot of time so that I don't have to keep updating the password whenever there is any change.

Data Engineer

They could improve the documentation by showing how to configure with different platforms.

Technology Specialist Database at a retailer with 10,001+ employees

The initial schema mapping tool in Striim can have a learning curve when dealing with deeply nested mainframe structures or complex copybooks.

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Mainframe lead at Infosys

Setup Cost

StreamSets provides flexible pricing models, with varied user satisfaction, favoring larger enterprises over smaller companies due to cost.

Enterprise users find Striim's pricing based on cores and CPU usage costly, but fair for private cloud setups.

No quotes available

For more quotes and insights, download the StreamSets report

Licensing was a bit more expensive because Striim has to read from Oracle GoldenGate trail files and also integrate them.

Technology Specialist Database at a retailer with 10,001+ employees

It's very fair.

Data Engineer

My experience with the pricing, implementation cost, and licensing of Striim is that it is somewhat expensive.

For more quotes and insights, download the Striim report

Cloud architect at a tech vendor with 10,001+ employees

Valuable Features

StreamSets offers intuitive interface, extensive connectors, and features accessible to non-technical users for seamless data integration and manipulation.

Striim enhances business analytics with real-time data streaming, ease of use, and efficient synchronization, reducing load and overhead.

It allows a hybrid installation approach, rather than being completely cloud-based or on-premises.

For more quotes and insights, download the StreamSets report

Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees

Striim is capable of absorbing a large number of transactions, and the difference between the two databases is always less than a second, which demonstrates efficiency.

Cloud architect at a tech vendor with 10,001+ employees

There were significant improvements because once we enabled change data capture, the database was not going down at all.

Data Engineer

It reduces manual intervention because it automatically syncs the data from the warehouse.

For more quotes and insights, download the Striim report

Technology Specialist Database at a retailer with 10,001+ employees

Categories and Ranking

StreamSets

Ranking in Data Integration

24th

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Striim

Ranking in Data Integration

46th

Average Rating

7.8

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Integration (25th), Streaming Analytics (22nd)

Mindshare comparison

As of September 2026, in the Data Integration category, the mindshare of StreamSets is 1.1%, down from 1.4% compared to the previous year. The mindshare of Striim is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
StreamSets	1.1%
Striim	0.6%
Other	98.3%

Data Integration

Featured Reviews

Enables effective batch loading with visual interface and enterprise support

Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees

One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infrastructure. I had to switch to a new EC2 box, even though the processor was not fully utilized. It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades. Additionally, it would be a great enhancement if StreamSets could produce a lineage graph to visualize how the data has passed through the system.

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Real-time data capture has accelerated releases and now improves trust in our data warehouse

Data Engineer

The checkpoints would help me to figure out where the problem was if there's any lag, but I had to do a lot of manual work to figure out where the lag is. Striim would not intuitively tell me the culprit table or database behind the lag. I believe that is an improvement Striim could definitely do. Passwords were an issue. Property variables were not supported for passwords, meaning I had to make sure the password is manually populated. I believe if Striim could read from AWS secrets or its own secret mechanism to store the password, that would really save a lot of time so that I don't have to keep updating the password whenever there is any change. The user experience of triggering alerts if there's any lag which Striim identified, which is outside normal processing time, could intrinsically be done by Striim. I believe that was lacking. I would wait for Striim to tell me, instead of me going and validating whether Striim is lagging behind. If Striim could itself tell me that it's seeing a lot more volume than expected, that would really make me give it a higher number.

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Outsourcing Company

Comms Service Provider

Manufacturing Company

Retailer

16%

Construction Company

13%

Healthcare Company

12%

Financial Services Firm

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	11

No data available

Questions from the Community

What needs improvement with StreamSets?

What is your primary use case for StreamSets?

We are using StreamSets for batch loading.

What advice do you have for others considering StreamSets?

If asked, I definitely recommend StreamSets to other users. My overall rating for the solution is nine.

What is your experience regarding pricing and costs for Striim?

It's very fair. We had a private cloud, and it's not based on the number of events. It was based on the number of cores and CPU cores.

What needs improvement with Striim?

What is your primary use case for Striim?

We were using batch data from an Oracle database, which was causing the Oracle database to slow down. We enabled change data capture and used Striim to read data from Oracle databases and ingest in...

Pentaho Data Integration and Analytics vs StreamSets

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Product Reports

StreamSets

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Also Known As

No data available

Striim Platform

Overview

StreamSets streamlines data pipeline creation, connecting data from multiple sources to destinations like cloud platforms with minimal coding. Its centralized platform and intuitive design enhance ETL and data migration processes.

StreamSets integrates seamlessly with analytics platforms, offering tools such as Data Collector and Control Hub to facilitate data ingestion, transformation, and machine learning integrations. Its user-friendly interface and ready connectors aid in configuring complex data pipelines. With built-in data drift resilience and scheduling options, users experience efficient, scalable data management, despite challenges like latency in cloud storage and interface enhancement needs. Users often employ StreamSets for batch loading, real-time data processing, and smart data pipeline management, offering comprehensive data integration solutions.

What are the key features of StreamSets?

Data Collector: Enables streamlined data collection and processing.
Control Hub: Centralizes management of data pipelines.
Minimal Coding: Simplifies pipeline configuration with limited code requirement.
Data Drift Resilience: Adapts to changes in data patterns effectively.

What benefits should users look for?

Time-Saving: Efficient processes reduce manual effort.
Scalability: Easily manages large datasets.
Integration: Connects with leading analytics and cloud platforms.
Real-Time Processing: Supports continuous data delivery for timely insights.

In industries like finance and technology, StreamSets supports data migration, machine learning integrations, and analytics by simplifying data transformation and enhancing decision-making capabilities through its robust pipeline management.

IBM

Striim offers a comprehensive platform for real-time data integration and streaming analytics, designed to streamline data processes for enterprise-level solutions.

Striim enables seamless migration and integration of data across cloud and on-premises environments, making it ideal for businesses looking to leverage real-time analytics. Its capabilities support continuous data flow, reducing latency and enhancing decision-making. Designed for scalable and secure data management, Striim facilitates effective data-driven strategies.

What are some key features of Striim?

Continuous Data Ingestion: Collects and processes real-time data streams promptly.
Data Integration: Combines data from different sources for unified insights.
Real-Time Analytics: Supports instant analytics, allowing fast response to changes.
Scalable Architecture: Adapts to large-scale data environments efficiently.

What benefits should users look for in Striim reviews?

Improved Data Accuracy: Ensures data integrity in analytics.
Enhanced Operational Efficiency: Streamlined processes for faster data handling.
Cost-Effective Integration: Reduces expenses associated with traditional data handling.
Flexible Deployment Options: Allows for tailored solutions fitting specific needs.

In industries like finance, Striim supports real-time fraud detection by providing uninterrupted data streaming between transaction systems. In healthcare, it enables rapid data processing for patient monitoring, improving service delivery. Manufacturing uses Striim to enhance supply chain visibility through real-time data analytics.

Sample Customers

Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge

Sky, UPS, MACY'S, EMAAR, HSBC

StreamSets vs. Striim